The exact problem we are trying to solve is the early diagnosis of Patellofemoral Osteoarthritis (PFOA). Can be defined in several aspects: • Physiological Problem: PFOA. Early diagnosis is critical in preventing the onset and progression of the kneecap cartilage damage. When anterior knee pain appears it is usually the consequence of severe cartilage damage that may require medical or surgical knee interventions. • Diagnostic Problem: Precise and dynamic diagnosis of PF cartilage damage cannot be obtained with high specificity or sensitivity with X-rays, CT scans or MRI. KneeVoice gives a precise easy to read assessment of PF Cartilage damage. • Interpretation Problem: The analysis of PFOA data is usually done by specialists different from the treating physician. (Radiologist and others) KneeVoice give the specialist the opportunity to assess personally and directly in his office or practice the cartilage damage score and repeat it on every medical visit. With a device that is noninvasive, pain free and without exposure to damaging or toxic elements. • Costs Problem: Monitoring PF cartilage damage requires expensive diagnostic tools such as MRI or CT scans. Knee Voice provides active dynamic live information at very low cost. 

1 in 5 adults in the US suffer from knee pain or basically 75million, OA affects over 50 million US adults, It’s estimated that approximately 250 million people worldwide are affected by the degradation of cartilage in the knee (knee osteoarthritis, or knee OA), as of 2018. In today’s landscape when people have knee problems the diagnosis options are expensive, time consuming, cumbersome and in some cases invasive. What we developed at Kneevoice is a platform technology based on Machine learning and neural-networks applied to orthopedics that is a simple yet sophisticated diagnosis devise that not invasive, by capturing sound and vibrations provides a precise analysis of the status of the cartilage in your knees. This came about thanks to the more than 20 years’ experience of our co-founder Dr. Carlos Leal that since his early years as fellow at Harvard medical school and NYU has been researching bio-mechanics of the knee. Today we have commercial devices, We have raised more than $2.1 M dollars and we are seeking an additional funding to bring us to production of our devices at scale, development of market and the Kneevoice wearable. 

On the Hardware side - we already have commercial devices (NOT prototypes but ready to scale devices)
On the software side - Propitiatory Algorithm and Machine learning created and tested
On the Medical side - more than 3600 knees studied, Medical trials for verification on 120 patients
On the certification side - Presented Pre-Submission to FDA in February, Second Pre-Submission in July target for final submission by the end of the year or early January 2024.
On the Legal side - Strong IP for use already granted and published for the US and Europe including England, design patents in US, Europe, UK, Japan, China, India and Korea